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Drinkminish: Understanding Engagement of Light to Moderate Drinkers in Online Alcohol Reduction Interventions

  • University of Bristol
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 197-212 (919 pages)

Publication milestones

  • Published - 28/11/2024

Publication status

Published - 28/11/2024

ISBN (Electronic)

9798400715099

Publication IDs

  • ORCID: /0000-0002-8772-2959/work/179670802
  • Scopus: 105020906822

Host publication title

Australian Conference on Human-Computer Interaction

Abstract

We investigated the engagement patterns of light to moderate drinkers, specifically targeting the deployment of alcohol reduction interventions on online grocery shopping platforms. While interventions for heavy drinkers have been extensively studied, there is a critical gap in addressing the needs of moderate to light drinkers, who represent a significant portion of the population but remain relatively unsupported in managing their alcohol consumption. This demographic often faces unique challenges in maintaining their motivation for healthier consumption habits, necessitating tailored strategies to support their goals. We conducted questionnaires (N=37), interviews (N=11) to gain insights into the needs of light to moderate drinkers concerning alcohol reduction tools. Our thematic analysis of the data was utilized to create a design guide underpinning the different factors impacting motivation and preferences. We found that health and wellness promotion, personal empowerment, the social and cultural context of alcohol consumption, and user-centered design influenced the alcohol tool. By understanding light to moderate drinkers’ behavior, we hope to offer insights on how to further develop alcohol reduction interventions.

Publication metrics

Funding Details

This work was funded by the Engineering and Physical Sciences Research Council grant number 2601331.
FundersFunding numbers
EPSRC
2601331

Related Event

Title

Conference on Human-Computer Interaction 2024

Event type

Conference

Degree of recognition

International event

Date

30/11/2024 - 04/12/2024

Location

BrisbaneAustralia